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Data mining / Confidence interval / Econometrics / Market research / Measurement / Parameter space / FO / Cartesian coordinate system / Association rule learning / Statistics / Mathematics / Statistical inference


PARAS: Interactive Parameter Space Exploration for Association Rule Mining∗ Abhishek Mukherji, Xika Lin, Christopher R. Botaish, Jason Whitehouse, Elke A. Rundensteiner, Matthew O. Ward and Carolina Ruiz Computer Scien
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Document Date: 2013-06-12 14:42:18


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City

Orlando / Asuncion / New York / D. Newman / /

Company

IBM / PARAS / /

Country

United States / /

Currency

USD / /

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Facility

Institute Road / Worcester Polytechnic Institute / Stable Region / Stable Regions The PARAS Framework / Stable Region View / M. Hall / /

IndustryTerm

Recent association rule mining / while state-of-the-art technologies / approximate protein-dna binding cores using association rule mining / interactive rule mining support / interactive association mining / web usage mining / mission critical applications / respective processing strategies / online generation / real-time speeds / interactive data mining system / online redundancy resolution / exploratory mining queries / online redundancy resolution management / mining / online redundancy resolution solution / online association mining / rule mining / weka data mining software / rule redundancy management / decision making applications / transcription factor binding site / rule mining algorithms / /

MarketIndex

PARAS / /

Organization

Carolina Ruiz Computer Science Department / National Science Foundation / Worcester Polytechnic Institute / /

Person

Jason Whitehouse / Christopher R. Botaish / Elke A. Rundensteiner / Carolina Ruiz / Matthew O. Ward / /

Position

analyst / biologist / /

Product

PSpace / /

ProvinceOrState

New York / /

Technology

bioinformatics / Av / API / Existing rule mining algorithms / data mining / existing mining technologies / machine learning / dna binding / data mining system / mining algorithms / /

URL

http /

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